Hive's APIs enable developers to integrate pre-trained AI models that address technically challenging content understanding needs into their applications. Backed by General Catalyst.
About the role
Our unique machine learning needs led us to open our own data centers, with an emphasis on GPU resources. Even with these data centers, we maintain a hybrid infrastructure into AWS to power some parts of our consumer apps. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Systems team to maintain the reliability of a SaaS offering for our customers. Our ideal candidate is someone who is able to thrive in an unstructured environment and takes automation seriously. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Minimum 1 - 2 years of previous experience in development, operations, IT, or a related field
- Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment
- Able to multitask, prioritize, and manage time efficiently independently
- Able to physically lift equipment at least 30 pounds
- Can communicate effectively across teams and management levels
- Degree in computer science, or similar, is an added plus!
More about this role
About Deploy
Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughput. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
DevOps and Systems Team
Our unique machine learning needs led us to open our own data centers, with an emphasis on GPU resources. Even with these data centers, we maintain a hybrid infrastructure into AWS to power some parts of our consumer apps. As we continue to commercialize our machine learning...
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